Data Analyst Level 4 Apprenticeship Programme (England)

Our Data Analyst Level 4 apprenticeship develops people to collect, organise and study data to provide business insight. It prepares learners to work across a variety of projects, providing technical data solutions to a range of stakeholders and customers.

This Data Analyst apprenticeship programme is developed using the latest research into effective learning and practical application of skills. Providing a flexible learning journey using online learning, practical exercises, video content, coaching and workshops to enable accelerated and proficient skills development. This apprenticeship programme offers the opportunity for learners to manage learning amongst their other priorities.

What’s included?

On successful completion of the programme the following qualifications are gained:

Data Analyst Level 4

BCS Level 4 Certificate in Data Analysis Tools

BCS Level 4 Certificate in Data Analysis Concepts

Dell EMC Data Science Associate

The entry requirements for this programme are as follows:

Must have 2x A Levels (including maths or ICT)

Or A Level 3 apprenticeship in a similar subject

Or an International Baccalaureate at Level 3 in ICT

Or A BTEC Extended Diploma (180 credits) In ICT

And GCSE English and Maths at grade C or above (or equivalent qualifications)

And Strong English Skills

Learners must not hold an existing qualification at the same or higher level as this apprenticeship in a similar subject

Job role suitability if already in employment:

To determine whether this programme is suitable for learners you must be able to answer “yes” to the following questions:

Are they in a full time Data Analyst role (or other similar role as listed in the overview section? (Data analysis must be their full time role, not just part of their responsibilities).

Will they be using multiple data analysis tools, not just limited to spreadsheets/Excel?

Will they be using data visualisation tools to present data?

Will they be collecting and compiling data from different sources – e.g. databases, spreadsheets and reports?

Will they process, cleanse, analyse (including statistical analysis) and present data on a regular basis?

Will they be running ad-hoc and standard data analysis reports and working on/assisting with performance dashboards in their role?

Would data mining and forecasting be an integral part of their role?

Will they be working on and processing large amounts of data on a regular basis?

Are they comfortable looking at detailed and complex information?

Do they have strong English and maths skills?

Note: Speak to your QA Account Manager for more advice on eligibility and job role/existing staff suitability for this programme.

We teach people in the way they tell us they want to learn. Life is busy. People need tech-enabled apprenticeship programmes that resonate with their day-to-day life.

We’ve invested in technology and digital content creation to deliver a ‘high-tech, high-touch’ approach to challenge-based learning for apprenticeships.

‘High tech’ refers to the innovative use of digital technology we use to facilitate our blend of learning methodologies. We deliver ‘mobile-first’ education – this means learning can be accessed anytime, anywhere and on any device, so apprentices get high-quality learning content on the go.

‘High touch’ refers to the many touch points the learners receive to interact with learning, and get support from expert QA training teams through workshops, coaching and online support.

This programme teaches skills in:

Identifying, collecting and migrating data

Interpreting data

Statistical analysis and other analytical techniques such as data mining

Producing performance dashboards

Tools and techniques for data visualisation

Presenting results to stakeholders and making recommendations

Empowering roles like:

Data Analyst

Data Manager

Data Scientist

Data Modeller

Data Architect

Data Engineer

During the programme, learners will be required to spend 20% of work time committed to off-the-job learning.

The modules in our Data Analyst apprenticeship equip learners with the advanced technical skills they need for their role. Each module develops the core set of skills they must be able to do well to be competent in their role.

Our approach is underpinned by the latest learning theory. Learner-centric approaches (where the focus is on how people learn, rather than which technology to use) have been shown to be more effective in promoting productive learning. The advent of new technology has fundamentally changed the way people create, change, share and interact with information, and the way they interact with each other. Methods are collaborative and hands-on – and so is our programme.

Crucial to our challenge-based approach are the remote module tasks, which require learners to work with their peers, tutors and mentors to learn and come up with a solution to a challenge. The cooperative and applied nature of this type of training makes it perfect for learners of all ages.

As part of their programme apprentices will complete:

Eight knowledge modules teaching advanced theory and its practical application, through a combination of online learning and practical classroom workshops.

A summative portfolio showcasing how the learner(s) have/has demonstrated the skills they learn in real work projects.

A synoptic project where apprentice will take a business and technical brief in order to build a finished product.

An end-point assessment interview carried out by BCS – The Chartered Institute for IT – to assess whether learners have successfully met the learning requirements of the programme.

Learners will need to complete the Dell EMC Data Science Associate Vendor Qualification as part of the Gateway requirements. Learners will be taught relevant material at Module 8, provided additional resources and Online learning support and will attempt the exam at an external Pearson VUE exam centre.